Shengrui Wang

Orcid: 0000-0001-6863-7022

According to our database1, Shengrui Wang authored at least 155 papers between 1988 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Successive data injection in conditional quantum GAN applied to time series anomaly detection.
IET Quantum Commun., September, 2024

A machine learning based model for student's dropout prediction in online training.
Educ. Inf. Technol., August, 2024

Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
CoRR, 2024

LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder.
CoRR, 2024

Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences.
CoRR, 2024

QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting.
CoRR, 2024

A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting.
CoRR, 2024

Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features.
CoRR, 2024

Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability.
CoRR, 2024

RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

FR<sup>3</sup>LS: A Forecasting Model with Robust and Reduced Redundancy Latent Series.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
DB-TASNet for disease diagnosis and lesion segmentation in medical images.
J. Vis. Commun. Image Represent., September, 2023

Modeling Regime Shifts in Multiple Time Series.
ACM Trans. Knowl. Discov. Data, 2023

DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning.
CoRR, 2023

Characterizing Financial Market Coverage using Artificial Intelligence.
CoRR, 2023

Agitated Behaviors Detection in Children with ASD Using Wearable Data.
Proceedings of the Digital Health Transformation, 2023

Deriving Physiological Information from PET Images Using Machine Learning.
Proceedings of the Digital Health Transformation, 2023

Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making.
Proceedings of the Database and Expert Systems Applications, 2023

Unsupervised Learning via Graph Convolutional Network for Stock Trend Prediction.
Proceedings of the Advanced Information Networking and Applications, 2023

Analysis and Comparison of Machine Learning Models for Glucose Forecasting.
Proceedings of the Advanced Information Networking and Applications, 2023

Modeling of Repeated Measures for Time-to-event Prediction.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Symbolic sequence representation with Markovian state optimization.
Pattern Recognit., 2022

COVID-19: Detecting depression signals during stay-at-home period.
Health Informatics J., 2022

A Multi-view Kernel Clustering framework for Categorical sequences.
Expert Syst. Appl., 2022

Investigating Moral Foundations from Web Trending Topics.
Proceedings of the Advances in Network-Based Information Systems, 2022

Tree-Based Models for Pain Detection from Biomedical Signals.
Proceedings of the Participative Urban Health and Healthy Aging in the Age of AI, 2022

Data-driven Kernel Subspace Clustering with Local Manifold Preservation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting.
Proceedings of the Database and Expert Systems Applications, 2022

Emotion Detection in Law Enforcement Interviews.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

A Longitudinal Study of Customer Electricity Load Profiles.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Dynamic Cross-sectional Regime Identification for Financial Market Prediction.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Discovering Affinity Relationships between Personality Types.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting.
ACM Trans. Intell. Syst. Technol., 2021

Dynamic order Markov model for categorical sequence clustering.
J. Big Data, 2021

Spatiotemporal adaptive neural network for long-term forecasting of financial time series.
Int. J. Approx. Reason., 2021

Neural forecasting at scale.
CoRR, 2021

Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
A new approach for affinity relationship discovery in online forums.
Soc. Netw. Anal. Min., 2020

Survival neural networks for time-to-event prediction in longitudinal study.
Knowl. Inf. Syst., 2020

Financial Time Series Representation Learning.
CoRR, 2020

Community Mining and Cross-Community Discovery in Online Social Networks.
Proceedings of the Advances in Networked-Based Information Systems, 2020

A Pre-training Approach for Stance Classification in Online Forums.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

On Predicting Behavioral Deterioration in Online Discussion Forums.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks.
IEEE Trans. Knowl. Data Eng., 2019

Feature-weighted survival learning machine for COPD failure prediction.
Artif. Intell. Medicine, 2019

Time-Dependent Survival Neural Network for Remaining Useful Life Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

HAR-search: a method to discover hidden affinity relationships in online communities.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Collaborative text categorization via exploiting sparse coefficients.
World Wide Web, 2018

A Network-Based Approach to Enhance Electricity Load Forecasting.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Self-representation Model for Robust Clustering of Categorical Sequences.
Proceedings of the Web and Big Data, 2018

Survival Classification with Two-Tied Labeling of Censored Data.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

2017
Detecting Communities of Authority and Analyzing Their Influence in Dynamic Social Networks.
ACM Trans. Intell. Syst. Technol., 2017

Holo-Entropy Based Categorical Data Hierarchical Clustering.
Informatica, 2017

Multiple Bayesian discriminant functions for high-dimensional massive data classification.
Data Min. Knowl. Discov., 2017

A new method for decontamination of de novo transcriptomes using a hierarchical clustering algorithm.
Bioinform., 2017

Structurexplor: a platform for the exploration of structural features of RNA secondary structures.
Bioinform., 2017

The super-n-motifs model: a novel alignment-free approach for representing and comparing RNA secondary structures.
Bioinform., 2017

Survival analysis for modeling critical events that communities may undergo in dynamic social networks.
Proceedings of the Symposium on Applied Computing, 2017

A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Sequential Representation of Clinical Data for Full-Fitting Survival Prediction.
Proceedings of the 31st International Conference on Advanced Information Networking and Applications Workshops, 2017

2016
Soft subspace clustering of categorical data with probabilistic distance.
Pattern Recognit., 2016

Tracking Communities over Time in Dynamic Social Network.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Tracking the evolution of community structures in time-evolving social networks.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Discovering and tracking influencer-influencee relationships between online communities.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A Novel Variable-order Markov Model for Clustering Categorical Sequences.
IEEE Trans. Knowl. Data Eng., 2014

Pattern-based causal relationships discovery from event sequences for modeling behavioral user profile in ubiquitous environments.
Inf. Sci., 2014

Kernel learning method for distance-based classification of categorical data.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

2013
Information-Theoretic Outlier Detection for Large-Scale Categorical Data.
IEEE Trans. Knowl. Data Eng., 2013

Efficient Cluster Labeling for Support Vector Clustering.
IEEE Trans. Knowl. Data Eng., 2013

Personal bankruptcy prediction by mining credit card data.
Expert Syst. Appl., 2013

NGS++: a library for rapid prototyping of epigenomics software tools.
Bioinform., 2013

Central Clustering of Categorical Data with Automated Feature Weighting.
Proceedings of the IJCAI 2013, 2013

Combining Collaborative Filtering and Clustering for Implicit Recommender System.
Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013

Causality-Based Model for User Profile Construction from Behavior Sequences.
Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013

Document Modeling Using Syntactic and Semantic Information.
Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012
Model-Based Method for Projective Clustering.
IEEE Trans. Knowl. Data Eng., 2012

ADR-SPLDA: Activity discovery and recognition by combining sequential patterns and latent Dirichlet allocation.
Pervasive Mob. Comput., 2012

Towards non-intrusive sleep pattern recognition in elder assistive environment.
J. Ambient Intell. Humaniz. Comput., 2012

DHCC: Divisive hierarchical clustering of categorical data.
Data Min. Knowl. Discov., 2012

A novel hierarchical clustering algorithm for gene sequences.
BMC Bioinform., 2012

A new statistical model for activity discovery and recognition in pervasive environments.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Centroid-based clustering for graph datasets.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Towards causal models for building behavioral user profile in ubiquitous computing applications.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Automated feature weighting in naive bayes for high-dimensional data classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Nearest Neighbor Classification by Partially Fuzzy Clustering.
Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012

Semi-naive Bayesian Classification by Weighted Kernel Density Estimation.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Particle swarm optimizer for variable weighting in clustering high-dimensional data.
Mach. Learn., 2011

Measuring the component overlapping in the Gaussian mixture model.
Data Min. Knowl. Discov., 2011

Rating-based collaborative filtering combined with additional regularization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Semi-supervised Parameter-Free Divisive Hierarchical Clustering of Categorical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Parameter-Free Anomaly Detection for Categorical Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Activity Recognition in Smart Environments: An Information Retrieval Problem.
Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011

A New Markov Model for Clustering Categorical Sequences.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Frequent Pattern Mining Approach for ADLs Recognition in Smart Environments.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011

An Improved Hybrid Recommender System by Combining Predictions.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2011

2010
Discovering Knowledge-Sharing Communities in Question-Answering Forums.
ACM Trans. Knowl. Discov. Data, 2010

A general measure of similarity for categorical sequences.
Knowl. Inf. Syst., 2010

Approximate Address Matching.
Proceedings of the 3PGCIC 2010, 2010

2009
Mining Projected Clusters in High-Dimensional Spaces.
IEEE Trans. Knowl. Data Eng., 2009

Text Clustering via Particle Swarm Optimization.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009

A New MCA-Based Divisive Hierarchical Algorithm for Clustering Categorical Data.
Proceedings of the ICDM 2009, 2009

A Robust Algorithm for Fuzzy Document Clustering.
Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009

2008
CLUSS2: an alignment-independent algorithm for clustering protein families with multiple biological functions.
Int. J. Comput. Biol. Drug Des., 2008

Identifying authoritative actors in question-answering forums: the case of Yahoo! answers.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

SCS: A New Similarity Measure for Categorical Sequences.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Probability Model for Projective Clustering on High Dimensional Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Cluster validation for subspace clustering on high dimensional data.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

2007
Xml Schema Matching.
Int. J. Softw. Eng. Knowl. Eng., 2007

CLUSS: Clustering of protein sequences based on a new similarity measure.
BMC Bioinform., 2007

New Algorithm to Extract Centerline of 2D Objects Based on Clustering.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

PCGEN: A Practical Approach to Projected Clustering and its Application to Gene Expression Data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

A New Alignment-Independent Algorithm for Clustering Protein Sequences.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Median graph computation for graph clustering.
Soft Comput., 2006

An objective approach to cluster validation.
Pattern Recognit. Lett., 2006

A Clustering-based Algorithm for Extracting the Centerlines of 2D and 3D Objects.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A K-means-based Algorithm for Projective Clustering.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Approximate Common Structures in XML Schema Matching.
Proceedings of the Advances in Web-Age Information Management, 2005

An Experiment on the Matching and Reuse of XML Schemas.
Proceedings of the Web Engineering, 5th International Conference, 2005

Optimization of cluster coverage for road centre-line extraction in high resolution satellite images.
Proceedings of the 2005 International Conference on Image Processing, 2005

Address Extraction: Extraction of Location-Based Information from the Web.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004
FCM-Based Model Selection Algorithms for Determining the Number of Clusters.
Pattern Recognit., 2004

Distinguishing between overlapping components in mixture models.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

A direct approach to graph clustering.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

2003
A Distributed Artificial Network Solving Complex and Multiple Causal Associations.
Appl. Intell., 2003

A New Median Graph Algorithm.
Proceedings of the Graph Based Representations in Pattern Recognition, 2003

2002
Segmentation of SAR images.
Pattern Recognit., 2002

On Computing the Fuzzifier in <sup>-</sup>FLVQ: A Data Driven Approach.
Int. J. Neural Syst., 2002

A New Algorithm for Graph Matching with Application to Content-Based Image Retrieval.
Proceedings of the Structural, 2002

A New Algorithm for Inexact Graph Matching.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
An Artificial Network Simulating Cause-to-Effect Reasoning: Cancellation Interactions and Numerical Studies.
Knowl. Inf. Syst., 2001

2000
Pseudometric generating property and autocontinuity of fuzzy measures.
Fuzzy Sets Syst., 2000

Autocovariance-based Perceptual Textural Features Corresponding to Human Visual Perception.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Computational Measures Corresponding to Perceptual Textural Features.
Proceedings of the 2000 International Conference on Image Processing, 2000

1999
Estimation of multi-modal histogram's pdf using a mixture model.
Neural Parallel Sci. Comput., 1999

A further investigation for fuzzy measures on metric spaces.
Fuzzy Sets Syst., 1999

Image Classification and Retrieval on the World Wide Web.
Proceedings of the Fourth ACM conference on Digital Libraries, 1999

1998
A unified model for abduction-based reasoning.
IEEE Trans. Syst. Man Cybern. Part A, 1998

Ship detection in RADARSAT SAR imagery.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A system for picture labeling.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Depth from Defocus using the Hermite Transform.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1996
An Effective Algorithm for Incompatibility Abduction Problems.
Int. J. Artif. Intell. Tools, 1996

Isotropic Processing for Gradient Estimation.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995
Abduction-Based Diagnosis: A Competition-Based Neural Model Simulating Adductive Reasoning.
J. Parallel Distributed Comput., 1995

1994
Performance evaluation of first order operators.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Computing Effect-to-Cause/Cause-to-Effect Diagnoses Within NdL.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1990
A PCMN neural network for isolated word recognition.
Speech Commun., 1990

1989
Réseaux multicouches de neurones artificiels : algorithmes d'apprentissage, implantations sur hypercube : applications. (Multilayered mural networks: learning algorithms, implementation on a hypercube machine, applications).
PhD thesis, 1989

1988
Training multi-layered neural networks with T.R. Based algorithm.
Neural Networks, 1988


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